Oren Etzioni quotes

All these things that we've contemplated, whether it's space travel or solutions to diseases that plague us, Ebola virus, all of these things would be a lot more tractable if the machines are trying to solve these problems.

If you step back a little and say we want to do A.I., then you will realize that A.I. needs knowledge, reasoning, and explanation.

The biggest reason we want autonomous cars is to prevent accidents.

Deep learning is a subfield of machine learning, which is a vibrant research area in artificial intelligence, or AI.

All these things that we've contemplated, whether it's space travel or solutions to diseases that plague us, Ebola virus, all of these things would be a lot more tractable if the machines are trying to solve these problems.

Infrastructure investment in science is an investment in jobs, in health, in economic growth and environmental solutions.

Ultimately, to me, the computer is just a big pencil. What can we sketch using this pencil that makes a positive difference to society and advances the state of the art, hopefully in an outsized way?

Infrastructure investment in science is an investment in jobs, in health, in economic growth and environmental solutions.

Infrastructure investment in science is an investment in jobs, in health, in economic growth and environmental solutions.

What are we going to do as automation increases, as computers get more sophisticated? One thing that people say is we'll retrain people, right? We'll take coal miners and turn them into data miners. Of course, we do need to retrain people technically. We need to increase technical literacy, but that's not going to work for everybody.

The popular dystopian vision of AI is wrong for one simple reason: it equates intelligence with autonomy. That is, it assumes a smart computer will create its own goals and have its own will and will use its faster processing abilities and deep databases to beat humans at their own game.

An AI utopia is a place where people have income guaranteed because their machines are working for them. Instead, they focus on activities that they want to do, that are personally meaningful like art or, where human creativity still shines, in science.

Driverless cars are a great thing.

I'd like to make a fundamental impact on one of the most exciting, intelligent questions of all time. Can we use software and hardware to build intelligence into a machine? Can that machine help us solve cancer? Can that machine help us solve climate change?

We have an obligation to figure out how to help people cope with the rapidly changing nature of technology.

Deep learning is a subfield of machine learning, which is a vibrant research area in artificial intelligence, or AI.

Understanding of natural language is what sometimes is called 'AI complete,' meaning if you can really do that, you can probably solve artificial intelligence.

AI is neither good nor evil. It's a tool. It's a technology for us to use.

A calculator is a tool for humans to do math more quickly and accurately than they could ever do by hand; similarly, AI computers are tools for us to perform tasks too difficult or expensive for us to do on our own, such as analyzing large data sets or keeping up to date on medical research.

Sooner or later, the U.S. will face mounting job losses due to advances in automation, artificial intelligence, and robotics.

I don't think that all the coal miners - or even more realistically, say, the truck drivers whose jobs may be put out by self-driving cars and trucks - they're all going to go and become web designers and programmers.

I think that there are so many problems that we have as a society that AI can help us address.

Everybody should do at least one startup sometime in life. It's such an amazing ride.

A calculator is a tool for humans to do math more quickly and accurately than they could ever do by hand; similarly, AI computers are tools for us to perform tasks too difficult or expensive for us to do on our own, such as analyzing large data sets or keeping up to date on medical research.

I became interested in AI in high school because I read 'Goedel, Escher, Bach,' a book by Douglas Hofstader. He showed how all their work in some ways fit together, and he talked about artificial intelligence. I thought 'Wow, this is what I want to be doing.'